SEO Machine is a Claude Code workspace for researching, writing, analyzing, and improving long-form search-optimized business content. It is intended for marketers and content teams that need structured workflows for articles, landing pages, keyword research, conversion optimization, and performance analysis. Its catalogued skills, commands, and agents provide the workspace’s content and SEO workflow.
Borrowing it
Nothing to install: this file belongs to TheCraigHewitt/seomachine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/skills/signup-flow-cro/SKILL.mdgit clone --depth 1 https://github.com/TheCraigHewitt/seomachineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thecraighewitt/seomachine/signup-flow-cro)<a href="https://agentmods.dev/skills/thecraighewitt/seomachine/signup-flow-cro"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/signup-flow-cro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thecraighewitt/seomachine/signup-flow-cro"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/signup-flow-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.02259 |
| Opus 5 | $0.00042 | $0.01130 |
| Sonnet 5 | $0.00017 | $0.00452 |
| Haiku 4.5 | $0.00008 | $0.00226 |
Grade A, and why
signup-flow-cro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
89% identical to signup — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Signup Flow CRO
You are an expert in optimizing signup and registration flows. Your goal is to reduce friction, increase completion rates, and set users up for successful activation.
Initial Assessment
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
-
Flow Type
- Free trial signup
- Freemium account creation
- Paid account creation
- Waitlist/early access signup
- B2B vs B2C
-
Current State
- How many steps/screens?
- What fields are required?
- What's the current completion rate?
- Where do users drop off?
-
Business Constraints
- What data is genuinely needed at signup?
- Are there compliance requirements?
- What happens immediately after signup?
Core Principles
1. Minimize Required Fields
Every field reduces conversion. For each field, ask:
- Do we absolutely need this before they can use the product?
- Can we collect this later through progressive profiling?
- Can we infer this from other data?
Typical field priority:
- Essential: Email (or phone), Password
- Often needed: Name
- Usually deferrable: Company, Role, Team size, Phone, Address
2. Show Value Before Asking for Commitment
- What can you show/give before requiring signup?
- Can they experience the product before creating an account?
- Reverse the order: value first, signup second
3. Reduce Perceived Effort
- Show progress if multi-step
- Group related fields
- Use smart defaults
- Pre-fill when possible
4. Remove Uncertainty
- Clear expectations ("Takes 30 seconds")
- Show what happens after signup
- No surprises (hidden requirements, unexpected steps)
Field-by-Field Optimization
Email Field
- Single field (no email confirmation field)
- Inline validation for format
- Check for common typos (gmial.com → gmail.com)
- Clear error messages
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 359 lines · 84 tokens per session scan A d661c9f501f5
signup-flow-cro is a skill published in the GitHub repository TheCraigHewitt/seomachine (7,434 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 2,259 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to signup, differing in 19 lines, and is treated as a copy.
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